Where was the JV10E number plate registered?

Vehicles with the JV10E prefix were first registered in the UK through official DVLA regional allocation tag JV.

What year was a JV10E registration plate released?

The JV10E series was issued during March 2010 to August 2010.

What is the MOT pass rate for JV10E vehicles?

Vehicles in the JV10E cohort demonstrate an average historical MOT pass rate of 100% based on 2 recorded DVSA inspections.

Batch Prefix Hub

JV10E Series Number Plates

UK vehicles during March 2010 to August 2010 with registration prefix JV10E.

Area Office: DVLA Region (JV)
Release Period: March 2010 to August 2010
Tracked in Batch: 2 vehicles
MOT Pass Rate: 100%

Popular Makes

PEUGEOT 50% (1)

PIAGGIO 50% (1)

100%

Average MOT Pass Rate

Based on 2 historical tests

Common Colors

Black1 vehicles

White1 vehicles

Active Plates in JV10E Series(2 of 2 displayed)

Filter by 6th Letter:

JV10ENG

MOT Valid

PIAGGIO VESPA

0.3L · Petrol · White

First Used: Sep 2016
MOT Expiry: 01 Jul 2027
Tax Status: —
Color: White

Check History & Specs

JV10ERS

MOT Valid

PEUGEOT 207

1.4L · Petrol · Black

First Used: Nov 2011
MOT Expiry: 12 Jan 2027
Tax Status: —
Color: Black

Check History & Specs

Reliability & Common Problem Guides for JV10E Makes

Explore common mechanical faults, MOT advisory trends, and recall notices for popular vehicles in this registration batch:

PEUGEOT Common Problems PIAGGIO Common Problems

Frequently Asked Questions about JV10E Plates

Where was the JV10E number plate series registered?

Vehicles starting with JV10E were assigned to the DVLA regional office covering the UK. The first two letters (JV) identify the memory tag assigned by the DVLA.

What registration period is JV10E?

The JV10E age identifier corresponds to vehicles first registered between March 2010 to August 2010.

How can I check the MOT history of a JV10E vehicle?

Click any registration in the plate list above to view the complete DVSA inspection history, advisory alerts, mileage progression, road tax status, and our AI mechanical risk evaluation.